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Monitoring of Harmful Algal Blooms - Lasse H. Pettersson, Dmitry Pozdnyakov

Monitoring of Harmful Algal Blooms

Buch | Softcover
XXXI, 309 Seiten
2016 | Softcover reprint of the original 1st ed. 2013
Springer Berlin (Verlag)
978-3-662-51760-4 (ISBN)
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Some of the wide variety of phytoplankton species in our oceans produce toxins harmful to marine life. Drawing on current and future satellite data, this book details the research techniques for monitoring and predicting visible algae blooms.

Sometimes known as "Red Tides", some of the wide variety of phytoplankton species in the World's oceans produce toxins which can harm marine life. In certain circumstances, these harmful algal blooms can even cause illness or death in humans. Shellfish filter feed on phytoplankton and concentrate their toxins in their bodies and people who eat them can contract life threatening food poisoning. A number of countries have monitoring programmes to measure the presence of toxins in algal blooms. Monitoring of Harmful Algal Blooms is all about the research techniques to monitor visible algal blooms and through remote sensing, including infrared techniques, predict them through mathematical modelling.

Aspects of Harmful Algal Blooms (HAB).- Biology and ecology of some harmful algal species (focus on Chantonella-tbd).- Retrieval of algal bloom related quantities from space.- Monitoring algal bloom from space.- Integrated approach for operational and forecasting HAB events.

Erscheinungsdatum
Reihe/Serie Geophysical Sciences
Springer Praxis Books
Zusatzinfo XXXI, 309 p.
Verlagsort Berlin
Sprache englisch
Maße 168 x 240 mm
Gewicht 584 g
Themenwelt Naturwissenschaften Biologie Ökologie / Naturschutz
Naturwissenschaften Chemie Technische Chemie
Technik Umwelttechnik / Biotechnologie
Schlagworte Biochemical modeling • Ecological modeling • ecotoxicology • Marine Ecology • Phytoplankton • Remote Sensing
ISBN-10 3-662-51760-4 / 3662517604
ISBN-13 978-3-662-51760-4 / 9783662517604
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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